All Outputs (10)

Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment (2024)
Journal Article
Olisah, C. C., Trewhella, B., Li, B., Smith, M. L., Winstone, B., Charles Whitfield, E., …Duncalfe, H. (2024). Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment. Engineering Applications of Artificial Intelligence, 132, Article 107945. https://doi.org/10.1016/j.engappai.2024.107945

Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or histograms for learning traits of fruit ripeness. Recently, few studies... Read More about Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment.

Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective (2022)
Journal Article
Olisah, C. C., Smith, L., & Smith, M. (2022). Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective. Computer Methods and Programs in Biomedicine, 220, Article 106773. https://doi.org/10.1016/j.cmpb.2022.106773

Background and Objective: Diabetes mellitus is a metabolic disorder characterized by hyperglycemia, which results from the inadequacy of the body to secrete and respond to insulin. If not properly managed or diagnosed on time, diabetes can pose a ris... Read More about Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective.

Understanding unconventional preprocessors in deep convolutional neural networks for face identification (2019)
Journal Article
Olisah, C. C., & Smith, L. (2019). Understanding unconventional preprocessors in deep convolutional neural networks for face identification. SN Applied Sciences, 1(11), https://doi.org/10.1007/s42452-019-1538-5

Deep convolutional neural networks have achieved huge successes in application domains like object and face recognition. The performance gain is attributed to different facets of the network architecture such as: depth of the convolutional layers, ac... Read More about Understanding unconventional preprocessors in deep convolutional neural networks for face identification.

Minimizing separability: A comparative analysis of illumination compensation techniques in face recognition (2017)
Journal Article
Olisah, C. C. (2017). Minimizing separability: A comparative analysis of illumination compensation techniques in face recognition. International Journal of Information Technology and Computer Science, 9(5), 40-51. https://doi.org/10.5815/ijitcs.2017.05.06

Feature extraction task are primarily about making sense of the discriminative features/patterns of facial information and extracting them. However, most real world face images are almost always intertwined with imaging modality problems of which... Read More about Minimizing separability: A comparative analysis of illumination compensation techniques in face recognition.

On gradient descriptor distribution-based dimensionality reduction analysis: A case of recognizing plastic surgery sample faces (2016)
Journal Article
Olisah, C. C., Ogedebe, P., & Sulong, G. (2016). On gradient descriptor distribution-based dimensionality reduction analysis: A case of recognizing plastic surgery sample faces. Indian Journal of Science and Technology, 9(28), 1-12. https://doi.org/10.17485/ijst/2016/v9i28/93968

Objectives: To analyze the influence of the sparseness distribution characteristics of gradient-based descriptor data on reduction of high-dimensional data, this paper presents experimental analysis on learned samples of gradient descriptor data. Met... Read More about On gradient descriptor distribution-based dimensionality reduction analysis: A case of recognizing plastic surgery sample faces.

Channel measurement and time dispersion analysis for outdoor mobile ultrawideband environment (2016)
Journal Article
Nunoo, S., Chude-Okonkwo, U. A. K., Ngah, R., Chude-Olisah, C., & Zahedi, Y. K. (2016). Channel measurement and time dispersion analysis for outdoor mobile ultrawideband environment. Turkish Journal of Electrical Engineering & Computer Sciences, 24, 4555-4568. https://doi.org/10.3906/elk-1310-103

Ultrawideband (UWB) technology offers short-range high-data transmission rates. Most researchers in recent times have focused on indoor UWB channel measurements and in instances where outdoor cases were reported, they focused on static scenarios. Thi... Read More about Channel measurement and time dispersion analysis for outdoor mobile ultrawideband environment.

Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters (2015)
Journal Article
Chude-Okonkwo, U. A. K., Chude-Olisah, C. C., Nunoo, S., & Nga, R. (2016). Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters. International Journal of Communication Systems, 29(5), 893-915. https://doi.org/10.1002/dac.2991

The characterization and parameterization of processes that arise in many fields of science and technology are very crucial. Of particular importance are dynamic processes whose statistics are time-varying and are often modeled as stochastic processe... Read More about Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters.

Face recognition via edge-based Gabor feature representation for plastic surgery-altered images (2014)
Journal Article
Chude-Olisah, C. C., Sulong, G., Chude-Okonkwo, U. A. K., & Hashim, S. Z. M. (2014). Face recognition via edge-based Gabor feature representation for plastic surgery-altered images. EURASIP Journal on Advances in Signal Processing, 2014(1), Article 102. https://doi.org/10.1186/1687-6180-2014-102

Plastic surgery procedures on the face introduce skin texture variations between images of the same person (intra-subject), thereby making the task of face recognition more difficult than in normal scenario. Usually, in contemporary face recognition... Read More about Face recognition via edge-based Gabor feature representation for plastic surgery-altered images.

A new watermarking technique for mammogram images copyright protection (2014)
Journal Article
Sulong, G., Hasan, H. R., Hajiabdollah, T., & Olisah, C. C. (2014). A new watermarking technique for mammogram images copyright protection. Life Science Journal, 11(5), 102-108. https://doi.org/10.7537/marslsj110514.14

Recent advances in technology have enabled the digitization of medical images for easy retrieval. However, the retrieval process of digital medical image makes the image prone to illegal distortions and reproduction. In this regards, the confidential... Read More about A new watermarking technique for mammogram images copyright protection.

Fuzzy-based dynamic distributed queue scheduling for packet switched networks (2013)
Journal Article
Olisah, C., Chude-Okonkwo, U. A., Bakar, K. A., & Sulong, G. (2013). Fuzzy-based dynamic distributed queue scheduling for packet switched networks. Journal of Computer Science and Technology, 28(2), 357-365. https://doi.org/10.1007/s11390-013-1336-2

Addressing the problem of queue scheduling for the packet-switched system is a vital aspect of congestion control. In this paper, the fuzzy logic based decision method is adopted for queue scheduling in order to enforce some level of control for traf... Read More about Fuzzy-based dynamic distributed queue scheduling for packet switched networks.